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The auth proxy lets sandbox code call external APIs (OpenAI, Anthropic, GitHub, etc.) without hardcoding credentials. When configured on a sandbox, a proxy sidecar automatically injects authentication headers into matching outbound requests using your workspace secrets.
You must configure your secrets (e.g., OPENAI_API_KEY) in your LangSmith workspace settings before creating a sandbox that references them.

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Configure auth proxy rules

Add a proxy_config when creating a sandbox. Each rule specifies:
FieldDescription
match_hostsHosts to intercept (supports globs like *.github.com)
match_pathsPaths to match (empty = all paths)
headersHeaders to inject, each with a name, type, and value
no_proxyHosts to bypass the proxy entirely (e.g. localhost)

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Header types

Each header has a type that controls how its value is stored and displayed:
TypeDescription
workspace_secretReferences a workspace secret using {KEY} syntax. Resolved at push time.
plaintextValue is stored and returned as-is. Use for non-sensitive headers.
opaqueWrite-only. Value is encrypted at rest and never returned via the API.

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Single API example

Create a sandbox that automatically injects an OpenAI API key into outbound requests: 
curl -X POST "$LANGSMITH_ENDPOINT/api/v2/sandboxes/boxes" \
  -H "x-api-key: $LANGSMITH_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "template_name": "python-sandbox",
    "name": "openai-sandbox",
    "wait_for_ready": true,
    "proxy_config": {
      "rules": [
        {
          "name": "openai-api",
          "match_hosts": ["api.openai.com"],
          "headers": [
            {
              "name": "Authorization",
              "type": "workspace_secret",
              "value": "Bearer {OPENAI_API_KEY}"
            }
          ]
        }
      ]
    }
  }'
The sandbox can now call OpenAI with no API key setup—the proxy injects it automatically.

​
Multiple API example

Add multiple rules to authenticate with several services at once: 
curl -X POST "$LANGSMITH_ENDPOINT/api/v2/sandboxes/boxes" \
  -H "x-api-key: $LANGSMITH_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "template_name": "python-sandbox",
    "name": "multi-api-sandbox",
    "wait_for_ready": true,
    "proxy_config": {
      "rules": [
        {
          "name": "openai-api",
          "match_hosts": ["api.openai.com"],
          "headers": [
            {
              "name": "Authorization",
              "type": "workspace_secret",
              "value": "Bearer {OPENAI_API_KEY}"
            }
          ]
        },
        {
          "name": "anthropic-api",
          "match_hosts": ["api.anthropic.com"],
          "headers": [
            {
              "name": "x-api-key",
              "type": "workspace_secret",
              "value": "{ANTHROPIC_API_KEY}"
            },
            {
              "name": "anthropic-version",
              "type": "plaintext",
              "value": "2023-06-01"
            }
          ]
        },
        {
          "name": "github-api",
          "match_hosts": ["api.github.com"],
          "match_paths": ["/repos/*", "/user"],
          "headers": [
            {
              "name": "Authorization",
              "type": "workspace_secret",
              "value": "Bearer {GITHUB_TOKEN}"
            }
          ]
        }
      ],
      "no_proxy": ["localhost", "127.0.0.1"]
    }
  }'

​
Configure via SDK

from langsmith.sandbox import SandboxClient

client = SandboxClient()

client.create_sandbox(
    template_name="python-sandbox",
    name="openai-sandbox",
    proxy_config={
        "rules": [
            {
                "name": "openai-api",
                "match_hosts": ["api.openai.com"],
                "headers": [
                    {
                        "name": "Authorization",
                        "type": "workspace_secret",
                        "value": "Bearer {OPENAI_API_KEY}",
                    }
                ],
            }
        ]
    },
)
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